Performances
RD Popularity Index
RD Growth Index
Comparison
Follow Updates
Follow Lists
People
About ORO
ORO is human data infrastructure for AI that pays individuals for private data used in model training. It targets frontier models that lack high-quality proprietary data, and personal data that platforms collect for free while the individual cannot monetise it. The stack rests on a zero-knowledge transport layer, trusted execution environments and encryption: users connect social, health or financial accounts or complete data tasks in exchange for points, models train inside a data vault and export only weights rather than raw data, and contributions and rewards are recorded on-chain.
Keeping data local and letting the model take only parameters is the compromise between privacy and usability, and the revenue model depends on buyers paying for exclusive data. On 17 February 2026 it reported the voice task at 3.8TB across 47 languages with 3,000 active contributors and 29,700 multi-turn conversations; categories now span voice, social, health and financial data, with rewards still accounted in points rather than tokens.
ORO is a data monetisation protocol run by Midcentury Labs, founded in 2025. It uses zkTLS and trusted execution environments so users can authorise social, health and wearable data for AI training, paying them in points rather than cash, and then licenses the cleaned datasets to AI labs and developers. It raised a USD 6 million seed in April 2025 led by a16z crypto CSX and Delphi Ventures with NEAR Foundation, Orange DAO, Ocular and 0G Labs participating.
Progress in 2026 was about supply scale: Season 1 points were snapshotted and reset on 3 February ahead of Season 2 with audio points settled, the Discord reached 110,000 contributors on 18 April, and on 20 April the team reported 600,000 contributors, 11 million health data points per month and 2,500 structured datasets across Whoop, Fitbit, Oura and Garmin. Strategy: sit as the authorisation and settlement layer for AI training data, trading points for data rights on one side and selling traceable datasets and evaluation sets to model builders on the other, with a verifiable provenance and licensing chain as the long-term goal. Risks: no token or TGE has happened and all incentives are non-transferable points, so the economic loop is untested; nearly every 2026 figure comes from the project's own social accounts with no independent source, and handling sensitive health and wearable data carries heavy compliance and privacy exposure with no third-party audit of the claimed zkTLS and TEE design.
Co-founder: CK (Twitter: https://x.com/ck_oro). No detailed public bio available.
Core contributor: DG (Twitter: https://x.com/dgmonsoon). No detailed public bio available.